Thu Jun 15 20:52:37 2023

forge_classify_knn():
  Python version: 3.8.10
  scikit-learn version: 1.2.2
  Classify the data.
  Use the k-nearest neighbor method.

  Generate the forge dataset, (X, y).
  X.shape: (26, 2)
  Plot the dataset (X0,X1).
  Graphics saved as 'forge_classify_data.png'
  Demonstrate k-nearest-neighbors with k = 1.
  Graphics saved as 'forge_classify_k1.png'
  Demonstrate k-nearest-neighbors with k = 3.
  Graphics saved as 'forge_classify_k3.png'

Randomly split the data into training and testing sets.
  Test set predictions: [1 0 1 0 1 0 0]
  Test set accuracy 0.8571428571428571

Plot the decision boundary for 1, 3, and 9 neighbors.
  Graphics saved as 'forge_classify_boundary.png'

forge_classify_knn():
  Normal end of execution.
Thu Jun 15 20:52:40 2023